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Distribution network optimization: Finding the most economic solution by using genetic algorithms

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  • Castillo, Luis
  • Gonzalez, Antonio

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  • Castillo, Luis & Gonzalez, Antonio, 1998. "Distribution network optimization: Finding the most economic solution by using genetic algorithms," European Journal of Operational Research, Elsevier, vol. 108(3), pages 527-537, August.
    • Handle: RePEc:eee:ejores:v:108:y:1998:i:3:p:527-537
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    Cited by:

    1. Ralf Lenz & Kai Helge Becker, 2022. "Optimization of capacity expansion in potential-driven networks including multiple looping: a comparison of modelling approaches," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 44(1), pages 179-224, March.
    2. Jesco Humpola & Felipe Serrano, 2017. "Sufficient pruning conditions for MINLP in gas network design," EURO Journal on Computational Optimization, Springer;EURO - The Association of European Operational Research Societies, vol. 5(1), pages 239-261, March.
    3. Jesco Humpola & Armin Fügenschuh & Thorsten Koch, 2016. "Valid inequalities for the topology optimization problem in gas network design," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 38(3), pages 597-631, July.
    4. Kucukyazici, Beste & Ozdamar, Linet & Pokharel, Shaligram, 2005. "Developing concurrent investment plans for power generation and transmission," European Journal of Operational Research, Elsevier, vol. 166(2), pages 449-468, October.

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